Ling Wang

Ling Wang | 汪羚

I'm currently a PhD student (2022-) at Department of Computer Science, Tsinghua University, advised by Prof.Fuchun Sun. I obtained my B.S. and M.S at Xi'an Research Institute of Hi-Tech.

My research interest lies in the 3D Reconstruction, 3D Generation, and Robotics. I am particularly interested in combining Vision Language Action models with 3D generation methods.

Email / Github

News

2026-02: SceneTransporter is accepted by ICLR 2026.

2026-01: Work on 3D AIGC is accepted by SCIENCE CHINA Information Sciences.

2025-01: EquiShape is accepted by IEEE TIP.

2024-07: Work on 3D AIGC is accepted by ECCV 2024.

2024-05: SMERL is accepted by ICML 2024.

2023-07: Work on 3D Keypoint Discovery is accepted by ICCV 2023.

2023-01: Work on Depth Estimation is accepted by ICRA 2023.

Publications

* indicates equal contribution

	SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation Ling Wang, Hao-Xiang Guo, Xinzhou Wang, Fuchun Sun, Kai Sun, Pengkun Liu, Hang Xiao, Zhong Wang, Guangyuan Fu, Eric Li, Yang Liu, Yikai Wang ICLR, 2026* [arXiv] [Project Page]
	D3DM: High-Fidelity Image-to-3D Generation with Direct 3D Diffusion Model Pengkun Liu, Hang Xiao, Yikai Wang, Hongxiang Xue, Ling Wang, Xiaofeng Wen SCIENCE CHINA Information Sciences, 2026 [Project Page]
	PhD-GS: Real-World Underwater Scene Reconstruction Using Gaussian Splatting Yu Du, Runfa Chen, Wenhang Ge, Fuchun Sun, Ling Wang, Xiao Lv ICME, 2025 [Paper]
	Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence Ling Wang, Runfa Chen, Yikai Wang, Fuchun Sun, Xinzhou Wang, Sun Kai, Guangyuan Fu, Jianwei Zhang, Wenbing Huang IEEE Transactions on Image Processing (TIP), 2025 [arXiv] [Code]
	AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation Xinzhou Wang, Yikai Wang, Junliang Ye, Zhengyi Wang, Fuchun Sun, Pengkun Liu, Ling Wang, Kai Sun, Xintong Wang, Bin He ECCV, 2024 [arXiv] [Code] [Project Page]
	Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments Runfa Chen, Ling Wang, Yu Du, Tianrui Xue, Fuchun Sun, Jianwei Zhang ICML, 2024 [arXiv] [Code] [Project Page]
	3D Implicit Transporter for Temporally Consistent Keypoint Discovery Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, Xinliang Zhang, Jian Zhao ICCV, 2023 [arXiv] [Code]
	STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang and Dongbin Zhao ICRA, 2023. [arXiv] [Code]

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